Suchergebnisse - Portfolio optimization Linear programming Absolute navigation Dynamic programming

ON STOCHASTIC CONTROL PROBLEMS WITH HIGHER-ORDER MOMENTS.

Autoren: WANG, YIKE LIU, JINGZHEN BENSOUSSAN, ALAIN et al.

Quelle: SIAM Journal on Control & Optimization; 2025, Vol. 63 Issue 3, p1560-1589, 49p

Schlagwörter: STOCHASTIC control theory, NASH equilibrium, DYNAMIC programming, PARTIAL differential equations, UTILITY functions, STOCHASTIC differential equations, MOMENTS method (Statistics)

Coverage bias in small molecule machine learning.

Autoren: Kretschmer, Fleming Seipp, Jan Ludwig, Marcus et al.

Quelle: Nature Communications; 1/9/2025, Vol. 16 Issue 1, p1-19, 19p

Schlagwörter: HEURISTIC programming, MOLECULAR structure, LINEAR programming, INTEGER programming, MACHINE learning

A trade-off multiobjective dynamic programming procedure and its application to project portfolio selection.

Autoren: Nowak, Maciej Trzaskalik, Tadeusz

Quelle: Annals of Operations Research; Apr2022, Vol. 311 Issue 2, p1155-1181, 27p

Schlagwörter: DYNAMIC programming, PROBLEM solving

Assessing the prediction uncertainty in a route optimization model for autonomous maritime logistics.

Autoren: Maskooki, Alaleh Virjonen, Petra Kallio, Markku

Quelle: International Transactions in Operational Research; Jul2021, Vol. 28 Issue 4, p1765-1786, 22p, 1 Chart, 7 Graphs

Schlagwörter: UNCERTAINTY, EMISSION control, LINEAR programming, INTEGER programming, ELECTRIC circuit networks

A Scheme of Sustainable Trajectory Optimization for Aircraft Cruise Based on Comprehensive Social Benefit.

Autoren: Ma, Lina Tian, Yong Yang, Songtao et al.

Quelle: Discrete Dynamics in Nature & Society; 7/2/2021, p1-15, 15p

Schlagwörter: TRAJECTORY optimization, ECONOMIC indicators, DYNAMIC programming, BENEFIT performances, TIME perspective

Inverse Markov decision processes with unknown transition probabilities.

Autoren: Ghatrani, Zahra Ghate, Archis

Quelle: IISE Transactions; Jun2023, Vol. 55 Issue 6, p588-601, 14p

Schlagwörter: MULTI-armed bandit problem (Probability theory), MARKOV processes, PROBABILITY theory, INVENTORY control, LINEAR programming

Quantum-inspired meta-heuristic approaches for a constrained portfolio optimization problem.

Autoren: Gunjan, Abhishek Bhattacharyya, Siddhartha

Quelle: Evolutionary Intelligence; Aug2024, Vol. 17 Issue 4, p3061-3100, 40p

A Deep Reinforcement Learning Framework for Cascade Reservoir Operations Under Runoff Uncertainty.

Autoren: Xu, Jing Qiao, Jiabin Sun, Qianli et al.

Quelle: Water (20734441); Aug2025, Vol. 17 Issue 15, p2324, 22p

Schlagwörter: REINFORCEMENT learning, LONG short-term memory, RESERVOIR ecology, RUNOFF analysis, SUSTAINABILITY, WATER power, FLOOD control

Geografische Kategorien: CHINA

Maximum Entropy Bi-Objective Model and its Evolutionary Algorithm for Portfolio Optimization.

Autoren: Liu, Chun-An Lei, Qian Jia, Huamin

Quelle: Asia-Pacific Journal of Operational Research; Dec2022, Vol. 39 Issue 6, p1-26, 26p

Schlagwörter: PORTFOLIO management (Investments), EVOLUTIONARY algorithms, PORTFOLIO diversification, EVOLUTIONARY models, INVESTMENT risk, INVESTMENT policy

Fund Allocation Using Capacitated Vehicle Routing Problem.

Autoren: Zaleha Mamat, Nur Jumaadzan Hafizah Jaaman, Saiful Ahmad, Rokiah Rozita et al.

Quelle: AIP Conference Proceedings; 2014, Vol. 1613, p169-179, 11p, 5 Diagrams, 4 Charts

Schlagwörter: INVESTMENTS, RESOURCE allocation, MATHEMATICAL optimization, VEHICLE routing problem, PROFIT, CHEBYSHEV approximation, RISK aversion, MIXED integer linear programming

The 34th Anual Meeting of the Asian Pacific Association for the study of the liver.

Quelle: Hepatology International; 2025 Suppl 1, Vol. 19, p1-1554, 1554p

The Liver Meeting: 2025 Abstracts.

Quelle: Hepatology (02709139); 2025Supplement, Vol. 82, pS1-S2308, 2308p

How Cooperative Are Games in River Sharing Models?

Autoren: Pisch, Marcus Franz Konrad Müller, David

Quelle: Water (20734441); Aug2025, Vol. 17 Issue 15, p2252, 28p

Schlagwörter: COOPERATIVE game theory, WATER laws, WATER rights, INTERDISCIPLINARY research, RESOURCE allocation

CORRELATIONS IN STOCHASTIC PROGRAMMING: A CASE FROM STOCHASTIC SERVICE NETWORK DESIGN.

Autoren: Arnt-Gunnar Lium Crainic, Teodor Gabriel Wallace, Stein W.

Quelle: Asia-Pacific Journal of Operational Research; Apr2007, Vol. 24 Issue 2, p161-179, 19p

Schlagwörter: STATISTICAL correlation, STOCHASTIC programming, LINEAR programming, MATHEMATICAL optimization, TELECOMMUNICATION, STOCHASTIC models

THIRTEENTH NATIONAL (SIXTH ANNUAL) MEETING.

Quelle: Operations Research; Jul/Aug1958, Vol. 6 Issue 4, p594, 41p

Schlagwörter: OPERATIONS research, OPERATIONS research conferences, DYNAMIC programming, NONLINEAR programming, MATHEMATICAL optimization

Firma/Körperschaft: OPERATIONS Research Society of America

People: YOUNG, William, FORRESTER, Jay W., 1918-2016

Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning.

Autoren: Njirjak, Marko Žužić, Lucija Babić, Marko et al.

Quelle: Nature Machine Intelligence; Dec2024, Vol. 6 Issue 12, p1487-1500, 14p

A Generative Adversarial Network for Financial Advisor Recruitment in Smart Crowdsourcing Platforms.

Autoren: Hamadi, Raby Ghazzai, Hakim Massoud, Yehia

Quelle: Applied Sciences (2076-3417); Oct2022, Vol. 12 Issue 19, p9830, 21p

Schlagwörter: GENERATIVE adversarial networks, FINANCIAL planners, CROWDSOURCING, PORTFOLIO management (Investments), EXPECTED returns

Visual odometry with neuromorphic resonator networks.

Autoren: Renner, Alpha Supic, Lazar Danielescu, Andreea et al.

Quelle: Nature Machine Intelligence; Jun2024, Vol. 6 Issue 6, p653-663, 11p

Program Abstracts from the GSA 2024 Annual Scientific Meeting, “The Fortitude Factor”.

Quelle: Innovation in Aging; 2024 Supplement, Vol. 8, p1-1377, 1377p

A Discussion Regarding The Function Of Computers In Online Criminal Investigation For Companies During Disasters And Cyber Crises: An Exhaustive Research.

Autoren: Peng Jiny Midhunchakkaravarthy, Divya

Quelle: Frontiers in Health Informatics; 2024, Vol. 13 Issue 8, p5334-5342, 9p

Schlagwörter: DIGITAL forensics, CRIMINAL investigation, DATA recovery, CORPORATE governance, CYBERTERRORISM